Pimwadee Chaovalit

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Time series are recorded values of an interesting phenomenon such as stock prices, household incomes, or patient heart rates over a period of time. Time series data mining focuses on discovering interesting patterns in such data. This article introduces a wavelet-based time series data analysis to interested readers. It provides a systematic survey of(More)
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into two polarities: positive and negative. As a type of sentiment-based classification, movie review mining is different from other topic-based classifications. Few empirical studies(More)
This paper explores green field detection methods for visible satellite images by applying well-known combination of vegetative index (COM), and developing two methods that are enhanced versions of COM to increase detection accuracies. An experiment was conducted on visible satellite images of 6 locations and 4 zoom levels obtained through Google Map API.(More)
Currently, most automatic traffic incident detection systems rely heavily on data collected from fixed sensors such as inductive loop detectors and surveillance cameras. However, fixed sensors are difficult to install and maintain. Moreover, it is quite costly to deploy a large number of fixed sensors to cover a broad area. It is potentially more efficient(More)